SOTAVerified

Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4601–4625 of 4891 papers

TitleStatusHype
Tensor-Based Backpropagation in Neural Networks with Non-Sequential Input—0
Bayesian Models of Data Streams with Hierarchical Power Priors—0
Multilingual Hierarchical Attention Networks for Document ClassificationCode0
HSfM: Hybrid Structure-from-Motion—0
Dynamic Time-Of-Flight—0
Noise-Blind Image Deblurring—0
Discriminative Optimization: Theory and Applications to Point Cloud Registration—0
Fast Haze Removal for Nighttime Image Using Maximum Reflectance Prior—0
Approximate Steepest Coordinate Descent—0
The thermodynamic efficiency of computations made in cells across the range of life—0
Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical ModelsCode0
On Optimistic versus Randomized Exploration in Reinforcement Learning—0
AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders—0
A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound images—0
Integer Echo State Networks: Efficient Reservoir Computing for Digital Hardware—0
Bayesian l_0-regularized Least Squares—0
Forward-Backward Selection with Early Dropping—0
Multilevel Monte Carlo For Exponential L\'evy Models—0
Solving Almost all Systems of Random Quadratic Equations—0
MMD GAN: Towards Deeper Understanding of Moment Matching NetworkCode0
Bayesian Compression for Deep LearningCode0
Efficient and principled score estimation with Nyström kernel exponential familiesCode0
Block building programming for symbolic regression—0
Learning to Rank Using Localized Geometric Mean MetricsCode0
Machine Learning Molecular Dynamics for the Simulation of Infrared Spectra—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified